| Title |
EEG Signal Characteristic Analysis for Monitoring of Anesthesia Depth Using Bicoherence Analysis Method |
| Authors |
박준모(Park Jun-Mo) ; 박종덕(Park Jong-Duk) ; 전계록(Jeon Gye-Rok) ; 허영(Huh Young) |
| Keywords |
Bicoherence ; Anesthesia ; EEG ; High Order Spectrum |
| Abstract |
Although reachers have studied for a long time, they don't make criteria for anesthesia depth. anesthetists can't make a prediction about patient's reaction. Therefor, patients have potential risk such as poisonous side effect late-awake, early-awake and strain reaction. EEG are received from twenty-five patients who agreed to investigate themselves during operation with Enflurane-anesthesis in progress of anesthesia. EEG are divided pre-anesthesia, before incision of skin, operation 1, operation 2, awaking, post-anesthesia by anesthesia progress step. EEG is applied pre-processing, base line correct, linear detrend to get more reliable data. EEG data are handled by electronic processing and the EEG data are calculated by bicoherence. During pre-anesthesia and post anesthesia, appearance rate of bicoherence value is observed strong appearance rate in high frequency range(15 ~30Hz). During the anesthesia of patient, a strong appearance rate is revealed the low frequency area(0~10Hz). After bicoherence is calculated by percentage of a appearance rate, that is, Bicpara #1, Bicpara #2, Bicpara #3 and Bicpara #4 parameter are extracted. In result of bicoherence analysis, Bicpara #2 and Bicpara#4 are considered that the best parameter showed progress of anesthesia effectively. And each separated bicoherence are calculated by average bicoherence's numerical value, divide by 2 area, appear by each BicHz #1, BicHz #2, and observed BicHz #1/BicHz #2's change. In result of bicoherence analysis, BicHz #1, BicHz #2 and BicHz #1/BicHz #2 are considered that the best parameter showed progress of anesthesia effectively. In conclusion, I confirmed the anesthesia progress phase, concluded to usefulness of parameter on bispectrum and bicoherence analysis and evaluated the depth of anesthesia. In the future, it is going to use for doctor's diagnosis and apply to protect an medical accident owing to anesthesia. |